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List available device emulation presets

list_device_presets
Read-onlyIdempotent

Returns the device presets you can pass as devicePreset on submit_test / submit_test_batch / retest_job. Each entry includes viewport width/height, deviceScaleFactor, isMobile, and hasTouch so the AI agent (and you) can pick the right one. Free — emulation runs as part of the base test cost, no markup. Use featuredOnly=true for the 15 most common phones/tablets; pass featuredOnly=false to see all 131.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
featuredOnlyNoWhen true (default) returns the curated featured subset (~15 modern phones/tablets). When false returns all 131 Puppeteer-bundled devices.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool result payload (JSON object)

TDQS

A4.5/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Adds context beyond annotations: explains the return fields, the free nature, and the number of presets. No contradictions with annotations. Minor gap: no mention of potential limits or caching.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with purpose, parameter guidance, and cost. Every sentence adds value with no repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple list tool with one parameter and an output schema, the description covers purpose, parameter options, cost, and usage context completely. No missing information.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. Description adds value by explicitly linking the parameter to the use case and clarifying the count difference (15 vs 131).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it returns device presets for use in submit_test, submit_test_batch, and retest_job, with specific fields. It distinguishes from sibling tools by linking to the submission tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides clear guidance on when to use featuredOnly=true vs false, and mentions cost implications. Could be more explicit about when not to use, but the context is sufficient.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A3.9/5.0
Disambiguation4/5

The tools cover a wide range of functionalities, but each has a clearly distinct purpose. For example, submit_test, submit_test_batch, submit_combo, and submit_interaction_scene are all different types of submissions with unique parameters. However, the sheer number of tools (43) might cause some initial confusion, but descriptors resolve ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (e.g., list_projects, create_project, get_test_results). The only exception is 'whoami', which is a common idiom and does not break the pattern. Overall, naming is highly predictable.

Tool Count3/5

43 tools is on the high side for a single server. The domain is broad (testing, worker marketplace, credits, cards, feedback, video), so the count is justifiable. However, it borders on being overwhelming, and some tools could be consolidated (e.g., multiple submit_* variants).

Completeness3/5

The tool surface covers core workflows like project creation, test submission, result retrieval, worker management, and credit operations. However, there are gaps: no update or delete for projects, no delete for worker offerings, and no user-facing combo editing (though combos are predefined). These are minor but noticeable.

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